In development. Expected delivery date : August 2023.

## Install the package
devtools::install_github("Olicoside/actuarialmetrics")

## Load the package
library("actuarialmetrics")

Package for basic metrics and graphs related to actuarial science. Useful and elegant visualisation based on ggplot2, but applied to actuarial science.

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Here is a basic example, which shows the need for an english implementation (which should be the default)

table_to_g <- actuarialmetrics::get_lr_table(preds %>% 
                                 mutate(n = 1),
                               ref_name = "ign",
                               comp_name = "conf",
                               expo_name = "n",
                               loss_name = "Y",
                               n_cuts = 6)

actuarialmetrics::dbl_lift_chart(table_to_g,
                                 Prem_names = c("ign",
                                                "conf"))

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• Olivier Côté

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• Make groups based on distance metrics (k-means) for various graphs
• Make groups based on PCA?
• Finish documentation
• Make a pretty example for the readme
• Arrange packages requirements for smooth use
• Add dataset to my package
• Add equation on graphs using latex2exp
• Add exploratory functions from industrial partnership
• Make a general function with an argument to specify the type of graph to use

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Olivier Côté

Project Link: https://github.com/OliCoSide/actuarialmetrics

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